Evidence map›Paper›PMID 40207115›Full record

ArticleFrontiers in psychology2025

A daily positive work reflection intervention for psychological distress among Chinese nurses: a pilot randomized controlled trial.

Li Zhang, Jian Xiao, Anao Zhang, Hui Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Li Zhang *Department of Cardiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Jian Xiao *Department of Otolaryngology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China.
Anao ZhangSchool of Social Work, University of Michigan, Ann Arbor, MI, United States.
Hui ZhangSchool of Sociology, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chinese nurses experience high level of psychological distress, which negatively impacts nurses' mental health. A daily positive work reflection intervention is a widely disseminated employee management program, designed to improve employee wellbeing. The program has shown promising results in management, but has rarely been tested in healthcare settings, such as among nurses. Objective: The purpose of this study is to evaluate the efficacy of a daily positive work reflection intervention for psychological distress among Chinese nurses. Methods: This study used a switching replication design and randomly allocated 205 nurses to two groups (i.e., the experimental group and the waitlist control group) with three waves of measurement at pre-treatment, immediate post-treatment (T2), and immediate post-treatment (for the control group after intervention switch, T3) for changes in psychological distress. Results: In addition to significant within group improvements over time for both groups, OLS linear regression with Full Information Likelihood Estimation revealed a statistically significant between group treatment effects across outcome domains, including psychological distress, Conclusions: Results suggest that a daily positive work reflection intervention is a feasible and promising intervention for decreasing Chinese nurses' psychological distress. The study used a convenience sample which led to a concern of external generalizability, and the study had limited evaluation of long-term change.

Indexed as

daily positive work reflection interventionnursepsychological distressrandomized controlled trialswitching replication design

Identifiers

PMID40207115
PMCPMC11979135

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.